摘要
针对宫颈微生物感染细胞的分割问题,根据宫颈微生物感染细胞与正常宫颈细胞的视觉特征区分性,本文提出了一种多截集分割方法,基于宫颈微生物感染细胞的强度特征设置分割截集,对宫颈细胞图像进行分割.实验证明:在原始图像中该方法能够快速、有效地实现对宫颈微生物感染细胞的提取和分割.
For segmentation problem of cervical microbial infection cells,according to the visual feature discrimination of cervical microbial infection cells and normal cervical cells,this paper presents a multithreshold segmentation set,based on strength characteristics of cervical microbial infection cells divided up cut set,cervical cell image is segmented.Experiments show that the method can achieve the extraction and segmentation of cervical cells infected by bacteria in the original image quickly and effectively.
作者
汪传忠
黄治国
武海燕
WANG Chuanzhong HUANG Zhiguo WU Haiyan(School of Information Engineering, Nanehang Hangkong University, Nanchang 330063, China School of Economics and Management, Nanchang Hangkong University, Nanchang 330063, China)
出处
《测试技术学报》
2017年第1期24-28,共5页
Journal of Test and Measurement Technology
关键词
多截集分割方法
图像处理
微生物感染检测
multi-threshold segmentation set
image procession
detection of microbial infection